The founders and engineering leaders who have built Canny Technologies into one of India's most trusted software development companies since 2019.
B.Tech Computer Science, IIT Delhi
Arjun founded Canny Technologies in 2019 after 10 years in enterprise software engineering. At Microsoft, he led a 40-person team building Azure B2B integration services. At Flipkart, he architected the logistics technology platform handling 3M daily shipments. He started Canny with the conviction that AI-powered software should be accessible to mid-market companies, not just enterprises with ₹100 crore IT budgets. Arjun has spoken at SaaS India, TiE Bangalore, and Nasscom Product Conclave on AI automation and offshore product development.
“The best software is invisible — it solves a real problem so elegantly that users forget it's there.”
“We don't build technology for its own sake. We build it to create measurable outcomes for the businesses that trust us.”
M.Tech Computer Science (AI), IIT Bombay
Priya leads all technical decisions at Canny Technologies. She spent 6 years at ThoughtWorks consulting on large-scale system architecture for banks and e-commerce companies before joining the AI research team at Unacademy, where she built the adaptive learning engine serving 15 million learners. At Canny, she introduced the engineering practices — mandatory code review, TDD, quarterly architecture reviews — that give clients confidence their software is built to last. Priya is an active open-source contributor (pgvector, LangChain) and writes about AI engineering on her technical blog.
“Architecture is the art of deciding what not to build. The best systems are the ones that remain simple under complexity.”
“I hire engineers who are obsessed with correctness — not just with getting it to work, but with understanding why it works.”
B.Tech Electronics & CS, NIT Trichy + MS AI (part-time)
Ravi joined Canny in 2021 as the company's first dedicated AI engineer and has since built the AI practice from scratch. At Swiggy, he built the demand forecasting and delivery time prediction models used in 500+ Indian cities. At Sarvam AI, he worked on Indian language models for enterprise applications. At Canny, he has shipped AI automation systems for logistics, healthcare, legal, and FMCG clients — covering document intelligence, conversational AI, and predictive analytics. He leads a team of 12 AI engineers and maintains Canny's internal AI component library.
“Production AI and research AI are different disciplines. A model that scores 89% in accuracy but fails on the 11% that matter most in production is worse than a simpler rule-based system.”
“The best AI features are the ones users don't know are AI. They just think the product is smart.”
B.E. Information Science, BITS Pilani + MBA (IIMB)
Deepa oversees all client delivery at Canny, ensuring 230+ projects have been delivered on time and to specification. She brings 10 years of enterprise delivery experience from Wipro and Capgemini — managing programmes up to $8M and teams across India, UK, and USA. At Canny, she redesigned the sprint review process, introduced the project health dashboard (every client can see real-time project status), and built the onboarding playbook that gets new clients to their first sprint demo in 5 days. Her teams hold a 4.9/5 client satisfaction rating.
“Delivery excellence is 20% process and 80% communication. The teams that clients love are the ones who tell them bad news early, not late.”
“A project debrief where everything went perfectly teaches you nothing. The most valuable retrospectives come from the hard projects.”
Former CTO, HDFC Securities; 20 years in Indian financial technology
Partner, Accenture UK Digital (retired); advisor to 10 UK tech companies
Associate Professor, IISc Bangalore; AI ethics and enterprise ML research
We are always looking for engineers who care deeply about code quality and client outcomes. Senior roles in AI, full-stack, and mobile.